Photos | Election Night Viewing Party

Ilya Prusikin and a crowd of 32 people in suits and formal wear gather in a room to watch the election results on TV, including candidate John McCain. The room is illuminated by four lamps, and some members of the crowd fiddle with their mobile phones while others watch intently.
BLIP-2 Description:
a crowd of people in a room watching a televisionMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
tie activities formal urban john leisure lecture chair mobile footwear election_day lamp hat ilya prusikin furniture shoe bag hardware machine hall glasses indoors audience wear electronics screen suit accessories monitor handbag tango phone tv live day election computer mccain crowd dancing cinema dance pose
Detected Text
iso
3200
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/20s
camera make
Canon
camera model
lens model
date
2008-11-04T21:19:50-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(32.01%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.55%)
failure
(-0.76%)
harmonious color
(-0.02%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(-32.52%)
intrusive object presence
(-11.99%)
lively color
(-46.24%)
low light
(97.27%)
noise
(-6.40%)
pleasant camera tilt
(-10.60%)
pleasant composition
(-82.37%)
pleasant lighting
(-48.90%)
pleasant pattern
(3.69%)
pleasant perspective
(-3.83%)
pleasant post processing
(1.22%)
pleasant reflection
(1.32%)
pleasant symmetry
(0.39%)
sharply focused subject
(0.27%)
tastefully blurred
(-23.10%)
well chosen subject
(-13.78%)
well framed subject
(-53.17%)
well timed shot
(5.60%)
all
(-9.63%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-3.5-turbo-0301
from
OpenAI)
based on a
BLIP-2 image-to-text labeling, tags,
location,
people
and album metadata from the image and are
potentially inaccurate, often hilariously so. If you'd like me to adjust anything,
just reach out.